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Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin
CHAPTER 10
Arbitrage Pricing Theory
and
Multifactor Models of Risk and Return
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10-2
Single Factor Model
• Returns on a security come from two
sources:
– Common macro-economic factor
– Firm specific events
• Possible common macro-economic
factors
– Gross Domestic Product Growth
– Interest Rates
– What else?
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10-3
Single Factor Model Equation
ri = Return on security
βi= Factor sensitivity or factor loading or factor
beta
F = Surprise in macro-economic factor
(F could be positive or negative but has
expected value of zero)
ei = Firm specific events (zero expected value)
(uncorrelated with each other and with F)
( )i i i ir E r F e
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10-4
Multifactor Models
• Use more than one factor in addition
to market return. Examples include:
– gross domestic product
– expected inflation
– interest rates
– …
• Estimate a beta or factor loading for
each factor using multiple regression.
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10-5
Multifactor Model Equation
ri = Return for security i
βGDP = Factor sensitivity for GDP
βIR = Factor sensitivity for Interest Rate
ei = Firm specific events
iiIRiGDPii eIRGDPrEr
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10-6
Multifactor SML Models
𝛽𝑖,𝐺𝐷𝑃 = Factor sensitivity for GDP
𝑅𝑃𝑖,𝐺𝐷𝑃 = Risk premium for GDP
𝛽𝑖,𝐼𝑅 = Factor sensitivity for Interest Rate
𝑅𝑃𝑖,𝐼𝑅 = Risk premium for Interest Rate
IRIRiGDPGDPifi RPRPrrE ,,
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10-7
Interpretation
The expected
return on a
security is the
sum of:
1.The risk-free rate
2.The sensitivity to GDP
times the risk premium
for bearing GDP risk
3.The sensitivity to
interest rate risk times
the risk premium for
bearing interest rate
risk
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10-8
Arbitrage Pricing Theory
1. Securities described with a Factor Model
2. There are enough securities to diversify away idiosyncratic risk
3. Arbitrage will disappear quickly
• Arbitrage when a zero investment portfolio has a sure profit
• No investment is required so investors can create large positions to obtain large profits
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10-9
Arbitrage Pricing Theory
• Regardless of wealth
or risk aversion,
investors will want
an infinitely large
position in the risk-
free arbitrage
portfolio.
• In efficient
markets, profitable
arbitrage
opportunities will
quickly disappear.
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10-10
APT & Well-Diversified Portfolios
rP = E (rP) + P F + eP
F = some factor
• For a well-diversified portfolio, eP
– approaches zero as the number of
securities in the portfolio increases
– and their associated weights decrease
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10-11
Figure 10.1 Returns as a Function of the Systematic Factor
Well-diversified portfolio and single stock
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10-12
Figure 10.2 Returns as a Function of the Systematic Factor: An Arbitrage Opportunity
Can the two portfolios co-exist?
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10-15
APT Model
• APT applies to well diversified portfolios
and not necessarily to individual stocks.
• With APT it is possible for some individual
stocks to be mispriced – not lie on the SML,
although APT must hold for most stocks (proof is difficult but reasoning can be illustrated)
• APT can be extended to multifactor
models.
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10-16
APT and CAPM
APT
• Equilibrium means no arbitrage opportunities.
• APT equilibrium is quickly restored even if only a few investors recognize an arbitrage opportunity.
• The expected return–beta relationship can be derived without using the true market portfolio.
CAPM
• Model is based on an inherently unobservable “market” portfolio.
• Rests on mean-variance efficiency. The actions of many small investors restore CAPM equilibrium.
• CAPM describes equilibrium for all assets.
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10-17
Multifactor APT
• Use of more than a single systematic factor
• Requires formation of factor portfolios
• What factors to choose?
– Factors that are important to
performance of the general economy
– What about firm characteristics?
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10-18
Two-Factor Model
• The multifactor APT is similar to the
one-factor case.
• Each factor F has zero expected value
as it measures the surprise, not the
level.
• Also ei has zero expected value.
iiifii eFFrrEr 2211
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10-19
Two (or multi)-Factor Model
• Track with diversified factor portfolios
• The factor portfolios track a particular
source of macroeconomic risk, but
are uncorrelated with other sources
of risk
• Each factor portfolio has 𝛽=1 for one of the
factors and 0 for all other factors
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10-20
Where Should We Look for Factors?
• Need important systematic risk factors
– Chen, Roll, and Ross used industrial
production, expected inflation,
unanticipated inflation, excess return on
corporate bonds, and excess return on
government bonds.
– Fama and French used firm characteristics
that proxy for systematic risk factors.
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10-21
Fama-French Three-Factor Model
• SMB = Small Minus Big (return of small in
excess of big firms, based on firm size)
• HML = High Minus Low (return of firms with high
book-to-market ratio, over those with low BtM)
• Are these firm characteristics correlated with
actual (but currently unknown) systematic risk
factors?
ittiHMLtiSMBMtiMiit eHMLSMBRr